Listar LCC - Contribuciones a congresos científicos por título
Mostrando ítems 77-96 de 339
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Computing New Optimized Routes for GPS Navigators Using Evolutionary Algorithms
(ACM, 2017-07)GPS navigators are now present in most vehicles and smartphones. The usual goal of these navigators is to take the user in less time or distance to a destination. However, the global use of navigators in a given city could ... -
Comunicación eficiente entre vehículos aplicando un algoritmo multi-objetivo paralelo
(2015-02-17)El encaminamiento de datos en redes vehiculares presenta un desafío debido a los frecuentes e inesperados cambios de topología. En este estudio presentamos un algoritmo de optimización multiobjetivo paralelo para tratar ... -
Concurrent Model Transformations with Linda
Nowadays, model transformations languages and engines use a sequential execution model. This is, only one execution thread deals with the whole transformation. However, model transformations dealing with very large models, ... -
Configuración Eco-Eficiente de Atributos de Calidad Funcionales
(2017)Los atributos de calidad funcionales (FQAs) son aquellos que para satisfacerlos se necesita incorporar funcionalidad adicional a la arquitectura de las aplicación (e.g., seguridad). La nueva funcionalidad incorporada ... -
Construct, Merge, Solve and Adapt for Taxi Sharing
(2019-07-22)Taxis are a quick and reliable mean of transportation, especially in those cities where the public transportation system is very inefficient. However, taxis rarely travel with full capacity, and its impact on traffic ... -
Construyendo Perfiles Virtuales Mediante el Procesamiento de Eventos Complejos
(2016-07-01)A medida que se incrementa el nímero de dispositivos inteligentes, el esfuerzo requerido para adaptarlos a las necesidades de cada usuario también crece. Asimismo, el proceso de adaptación de un dispositivo al contexto de ... -
Content Based Image Retrieval by Convolutional Neural Networks
(2019-06-07)In this paper, we present a Convolutional Neural Network (CNN) for feature extraction in Content based Image Retrieval (CBIR). The proposed CNN aims at reducing the semantic gap between low level and high-level features. ... -
Context-aware Assessment Using QR-codes
(SAGE, 2013)In this paper we present the implementation of a general mechanism to deliver tests based on mobile devices and matrix codes. The system is an extension of Siette, and has not been specifically developed for any subject ... -
Coordinación de casos prácticos en asignaturas del área de conocimiento “Gestión de la Información” según modelo curricular de informática de la ACM/IEEE 2013
(2017-07-04)Este artículo presenta el estado de desarrollo y resultados preliminares del proyecto de innovación docente de la Universidad de Málaga (PIE15-183): Coor-dinación de casos prácticos en asignaturas del área de conocimiento ... -
Coordinación de Dispositivos IoT mediante Web Semántica y Ontologías en Situational-Context
(2019-06-19)El ritmo al que crece Internet de las Cosas (IoT) es imparable. Existen multitud de fabricantes que desarrollan dispositivos IoT, siguiendo sus propias especificaciones y sin atender a un estándar que todavía no existe ... -
Coordinating heterogeneous IoT devices by means of the centralized vision of the SDN controller
(2017-07-13)The IoT (Internet of Things) has become a reality during recent years. The desire of having everything connected to the Internet results in clearly identified benefits that will impact on socio economic development. However, ... -
Cryptographic approaches for confidential computations in blockchain.
(2023)Blockchain technologies have been widely re- searched in the last decade, mainly because of the revolution they propose for different use cases. Moving away from centralized solutions that abuse their capabilities, blockchain ... -
The Current Status of Social Risks on Educational Systems. An Analysis Through Social Media
(L. Gómez Chova, A. López Martínez, I. Candel Torres. IATED Academy, 2018-11)Social Risk in education such as bullying, are usually invisible to teachers and parents, at all educational levels. However, these risks remain a reality everywhere in the world, turning into a problem that is rapidly ... -
Dataciones absolutas de yacimientos protohistóricos de la bahía de Málaga en el contexto de la primera presencia fenicia en el sur de la Península Ibérica
(XCIEFP 2022. X Congreso Internacional de Estudios Fenicios y Púnicos, 2022)En el presente artículo pretendemos aportar un nuevo conjunto de dataciones para la primera presencia fenicia en la bahía de Málaga. Así, se aportarán dataciones complementarias a las existentes en yacimientos fenicios y ... -
Dealing with inheritance in OO evolutionary testing.
(2009-07)Most of the software developed in the world follows the object-oriented (OO) paradigm. However, the existing work on evolutionary testing is mainly targeted to procedural languages. All this work can be used with small ... -
Deep learning for coronary artery disease severity classification
(2023)Medical imaging evaluations are one of the fields where computed-aid diagnosis could improve the efficiency of diagnosis supporting physician decisions. Cardiovascular Artery Disease (CAD) is diagnosed using the gold ... -
Deep Learning networks with p-norm loss layers for spatial resolution enhancement of 3D medical images
(2019-06-19)Nowadays, obtaining high-quality magnetic resonance (MR) images is a complex problem due to several acquisition factors, but is crucial in order to perform good diagnostics. The enhancement of the resolution is a typical ... -
Deep Learning to Analyze RNA-Seq Gene Expression Data
(Springer, 2017)Deep learning models are currently being applied in several areas with great success. However, their application for the analysis of high-throughput sequencing data remains a challenge for the research community due to ... -
Deep learning-based anomalous object detection system for panoramic cameras managed by a Jetson TX2 board
(IEEE, 2021)Social conflicts appearing in the media are increas ing public awareness about security issues, resulting in a higher demand of more exhaustive environment monitoring methods. Automatic video surveillance systems are a ... -
Deep learning-based anomalous object detection system powered by microcontroller for PTZ cameras
(IEEE, 2018)Automatic video surveillance systems are usually designed to detect anomalous objects being present in a scene or behaving dangerously. In order to perform adequately, they must incorporate models able to achieve accurate ...